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Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction
7 references·8 citing·44 second hop
Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction (2019)Improved grey wolf optimization-based fea…Financial crisis prediction model using ant colony optimization (2018)Financial crisis prediction m…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Novel feature selection methods to financial distress prediction (2013)Novel feature selection metho…An SVM-based approach for stock market trend prediction (2013)An SVM-based approach for sto…An improved boosting based on feature selection for corporate bankruptcy prediction (2013)An improved boosting based on…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model (2023)RETRACTED ARTICLE: Explainabl…Hybrid Hunter–Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society (2023)Hybrid Hunter–Prey Optimizati…A new metaheuristic optimization model for financial crisis prediction: Towards sustainable development (2022)A new metaheuristic optimizat…Internet of Things Enabled Financial Crisis Prediction in Enterprises Using Optimal Feature Subset Selection-Based Classification Model (2021)Internet of Things Enabled Fi…Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network (2021)Computational Intelligence-Ba…An improved gradient boosting tree algorithm for financial risk management (2021)An improved gradient boosting…[Retracted] Early Warning of Financial Risk Based on K‐Means Clustering Algorithm (2021)[Retracted] Early Warning of …Financial Crisis Warning of Financial Robot Based on Artificial Intelligence (2020)Financial Crisis Warning of F…Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers (2000)Forecasting stock market movement direction with support vector machine (2004)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Stock Market Price Prediction Using LSTM RNN (2018)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)Machine learning approaches in stock market prediction: A systematic literature review (2023)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Forecasting with artificial neural networks: (1998)Deep Learning-Based Model for Financial Distress Prediction (2022)Interpretable deep learning LSTM model for intelligent economic decision-making (2022)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Intelligent Feature Selection with Deep Learning Based Financial Risk Assessment Model (2022)The Use of the Internet of Things to Ensure the Smooth Operation of Network Functions in Fintech (2023)Haircuts: estimating investor losses in sovereign debt restructurings, 1998–2005Social Performance and Firm Risk: Impact of the Financial Crisis (2016)How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk (2017)Enterprise Financial Risk Early Warning Using BP Neural Network Under Internet of Things and Rough Set Theory (2022)Optimization System for Financial Early Warning Model Based on the Computational Intelligence and Neural Network Method (2022)Stochastic Games (1953)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)The Rate of Return on Everything, 1870-2015 (2018)Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem (2016)Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting (2020)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios (2017)A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction (2019)Data analytic approach for bankruptcy prediction (2019)
this work references cited by second hop

References

  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2013An improved boosting based on feature selection for corporate bankruptcy prediction188 cited
  • 2013An SVM-based approach for stock market trend prediction178 cited
  • 2018Financial crisis prediction model using ant colony optimization139 cited
  • 2013Novel feature selection methods to financial distress prediction129 cited

Cited by

  • 2021[Retracted] Early Warning of Financial Risk Based on K‐Means Clustering Algorithm58 cited
  • 2021Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network27 cited
  • 2023RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model22 cited
  • 2021An improved gradient boosting tree algorithm for financial risk management19 cited
  • 2020Financial Crisis Warning of Financial Robot Based on Artificial Intelligence16 cited
  • 2023Hybrid Hunter–Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society

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15 cited
  • 2021Internet of Things Enabled Financial Crisis Prediction in Enterprises Using Optimal Feature Subset Selection-Based Classification Model14 cited
  • 2022A new metaheuristic optimization model for financial crisis prediction: Towards sustainable development13 cited